Latvijas čempionāts sievietēm 2019/2020

Latvijas čempionāts sievietēm

Latvijas čempionāts sievietēm 2019/2020 Best players MIDDLE BLOCKER
PlayerPlayedServeServeBlockBlockAttackAttackRanking
  MS#=/TotSv ind.Sv ind.#=/TotBl ind.Bl ind.#=/TotSp ind.Sp ind.Index

1

Rozīte Simona
(Jelgava/LLU)

12

38

33

10

1

182

0,0205

0,0205

18

13

0

84

0,0108

0,0108

33

15

3

107

5,3271

5,3271

0,58942

2

Dzierkale Kristīne
(Jelgava/LLU)

12

39

18

24

1

130

0,0114

0,0114

21

14

0

75

0,0126

0,0126

58

4

4

116

16,8103

16,8103

0,54366

3

Urbāne Monta
(Mārupes SC)

9

33

16

14

1

114

0,0123

0,0123

18

15

0

85

0,013

0,013

55

23

2

137

7,2263

7,2263

0,53573

4

Hrapāne Terēza
(Rīgas Volejbola skola)

12

42

16

17

1

123

0,0095

0,0095

22

6

0

58

0,0123

0,0123

52

7

4

139

12,3885

12,3885

0,51566

5

Vedļa Ginta
(Latvijas Universitāte)

13

47

22

27

2

180

0,0115

0,0115

18

24

0

101

0,0086

0,0086

59

22

6

281

5,1851

5,1851

0,49515

6

Brīvule Līva
(SK Babīte)

11

36

20

18

1

112

0,0129

0,0129

11

17

0

68

0,0067

0,0067

53

20

13

203

3,5468

3,5468

0,49181

7

Brīvule Menarda
(Murjāņu Sporta ģimnāzija)

12

33

18

9

3

110

0,0113

0,0113

15

31

0

86

0,0081

0,0081

34

20

4

125

2,64

2,64

0,48482

8

Nipāne Marta
(VK Gulbene)

12

41

22

17

2

131

0,0126

0,0126

7

15

0

47

0,0037

0,0037

58

18

5

155

9,2581

9,2581

0,48012

9

Strazdiņa Monta
(RSU/MVS)

9

32

12

14

0

100

0,0082

0,0082

15

14

0

60

0,0103

0,0103

27

11

0

100

5,12

5,12

0,47684

10

Melle Diāna
(VK Gulbene)

13

44

12

10

2

124

0,0068

0,0068

24

22

0

78

0,0117

0,0117

57

24

11

176

5,5

5,5

0,47489

11

Pētersone Alise
(Murjāņu Sporta ģimnāzija)

5

19

7

3

0

59

0,0084

0,0084

7

5

0

22

0,0084

0,0084

31

13

4

90

2,9556

2,9556

0,46156

12

Toča Diāna
(Murjāņu Sporta ģimnāzija)

13

42

15

19

2

120

0,0083

0,0083

16

19

0

65

0,0078

0,0078

38

20

4

133

4,4211

4,4211

0,46023

13

Rutkovska Evelīna
(RSU/MVS)

9

33

13

21

1

96

0,0089

0,0089

11

20

0

80

0,007

0,007

30

19

5

116

1,7069

1,7069

0,45504

14

Šreibere Sanita
(Mārupes SC)

9

31

12

21

0

98

0,0088

0,0088

8

7

0

41

0,0059

0,0059

17

2

5

80

3,875

3,875

0,45101

15

Ozola Lāsma
(Rīgas Volejbola skola)

10

33

10

27

1

111

0,0075

0,0075

9

8

0

38

0,0061

0,0061

29

17

3

113

2,6283

2,6283

0,43794

16

Adeleviča Liene
(Latvijas Universitāte)

8

25

6

10

1

67

0,0056

0,0056

8

4

0

25

0,0064

0,0064

19

9

0

79

3,1646

3,1646

0,42474

17

Babre Annija
(SK Babīte)

5

15

4

6

1

31

0,0066

0,0066

1

7

0

22

0,0013

0,0013

12

8

2

49

0,6122

0,6122

0,39626

18

Deņisova Dana
(Murjāņu Sporta ģimnāzija)

5

10

1

1

0

16

0,0013

0,0013

6

7

0

14

0,0079

0,0079

1

7

1

17

-4,1176

-4,1176

0,38387

19

Krīgale Karlīne
(SK Babīte)

10

34

7

13

0

99

0,0046

0,0046

3

22

1

70

0,002

0,002

34

21

12

215

0,1581

0,1581

0,38271

20

Rubule Rita
(Latvijas Universitāte)

2

6

0

3

0

13

0

0

3

2

0

5

0,0075

0,0075

5

4

0

26

0,2308

0,2308

0,37816

21

Miķelsone Gundega
(VK Gulbene)

8

15

6

8

0

39

0,0049

0,0049

1

5

0

11

0,0008

0,0008

3

5

3

30

-2,5

-2,5

0,37298

22

Bernāte Laura
(Latvijas Universitāte)

11

28

3

7

1

79

0,0024

0,0024

4

12

0

39

0,0024

0,0024

20

4

4

93

3,6129

3,6129

0,37253

23

Melne Agnese
(RSU/MVS)

12

34

5

3

2

127

0,0036

0,0036

3

9

0

41

0,0015

0,0015

8

12

1

80

-2,125

-2,125

0,36732

Ranking Calculation

Middle-Blocker

the ranking takes into account:

  • Serve Index (Sv ind.): positive serves divided the total points of both teams (ranking is available only if the player has made at least one serve per set)

  • Attack Index (Sp ind.): positive attacks minus negative attacks divided the total attacks (ranking is available only if the player has made at least three attacks per set)

  • Block Index (Bl ind.): positive blocks divided the total points of both teams

The final ranking is based on the final “index” which determines the impact of the role on the game, in other words the importance of the role towards the win probability. This final Index is calculated considering the indexes for each single skill (“ind.” columns) and a coefficient which indicates the “importance” of the role to determine the probability of success for the team. Each single skill index is calculated considering the positive and negative skills based on the number of points played from the teams and multiplied for a coefficient which indicates the importance of the skill for that role to determine the probability of success for the team. The icons next to each skill column give an idea about the “weight” of the skill determining the probability of success for the team in this role. The final Index is calculated also considering the following criteria:

  • Minimum number of Serves per set:  1

  • Minimum number of Spikes per set:  1

Serve

  • # serve ace

  • / half point

  • #NOME?

Attack

  • # point

  • / blocked

  • #NOME?

Block

  • # point

  • / Net touch

  • #NOME?

Filters applied

  • Minimum number of Matches played:  1